Triple
T16515903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham Iron |
E401182
|
entity |
| Predicate | defensiveIdentity |
P13143
|
FINISHED |
| Object | strong defense and low-scoring games |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: strong defense and low-scoring games | Statement: [Birmingham Iron, defensiveIdentity, strong defense and low-scoring games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defensiveIdentity Context triple: [Birmingham Iron, defensiveIdentity, strong defense and low-scoring games]
-
A.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
B.
defensiveSystem
Indicates a system or mechanism whose primary function is to protect, guard, or defend an entity against threats or attacks.
-
C.
defensiveRole
chosen
Indicates that an entity serves a protective or guarding function in relation to another entity or context.
-
D.
defenderIn
Indicates that an entity serves as a defensive agent or protector within a specified context, situation, or domain.
-
E.
defensiveUse
Indicates that an entity uses something primarily for protection or defense against threats or attacks.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7bbfa481909037148cdb4d8996 |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.